Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

Add more skills

Decision summary

grill-me is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.

Strongest overall

grill-me

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

grill-me

Best first install candidate based on install readiness and adoption.

Freshest repo

grill-me

Most recent maintenance signal among this shortlist.

Signal	course-publisher Student-facing communication and packaging for university professors, derived entirely from the Course Passport. 4-agent team drafting one-off announcements, weekly emails, a static course website, LMS upload packages, and a living FAQ — every date, weight, and policy traces to a passport field, and everything ships as a draft the professor publishes. Triggers on: announcement, weekly email, course website, course page, LMS, Canvas, Moodle, Blackboard, post materials, publish course, student FAQ, 课程通知, 周报, 课程网站, 课程主页, 学习平台, 发布课件, 课程公告, 常见问题.	Humanizer Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.	grill-me A relentless interview to sharpen a plan or design.	stop-slop Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
Quality	57/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	56/100 Needs manual review Do a manual repository review before adding this to an agent workflow.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	34 stars Verified outcomes are shown on each skill page	37K stars Verified outcomes are shown on each skill page	278K stars Verified outcomes are shown on each skill page